-replace_unk [] (default: false)Replace the generated tokens with the source token that has the highest attention weight. If -phrase_table is provided, it will lookup the identified source token and give the corresponding target token. If it is not provided (or the identified source token does not exist in the table) then it will copy the source token

-replace_unk_tagged [] (default: false)The same as -replace_unk, but wrap the replaced token in ｟unk:xxxxx｠ if it is not found in the phrase table.

-lexical_constraints [] (default: false)Force the beam search to apply the translations from the phrase table.

-pre_filter_factor (default: 1)Optional, set this only if filter is being used. Before applying filters, hypotheses with top beam_size * pre_filter_factor scores will be considered. If the returned hypotheses voilate filters, then set this to a larger value to consider more.

-length_norm (default: 0)Length normalization coefficient (alpha). If set to 0, no length normalization.

-coverage_norm (default: 0)Coverage normalization coefficient (beta). An extra coverage term multiplied by beta is added to hypotheses scores. If is set to 0, no coverage normalization.

-eos_norm (default: 0)End of sentence normalization coefficient (gamma). If set to 0, no EOS normalization.

-dump_input_encoding [] (default: false)Instead of generating target tokens conditional on the source tokens, we print the representation (encoding/embedding) of the input.

-save_beam_to (default: '')Path to a file where the beam search exploration will be saved in a JSON format. Requires the dkjson package.